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# Neural Network Architecture Diagram

You train the network with back-propagation. Be aware that the bias layer needs to be included even in the event the network wasn’t created with biases. Neural networks are conceptually easy, and that’s their attractiveness. Thus, a neural network is truly only a kind of a function. This neural network can address a wide array of problems. This neural network represent an explicit function that can be used for a number of purposes. It’s recognized that convolutional neural networks (CNNs or ConvNets) have been the source of several significant breakthroughs in the specialty of Deep learning in

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